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  • Holistic data governance

    This page describes holistic data governance, how it differs from other approaches, why you might consider it, and what it might involve.

  • Frameworks to move the data agenda forward

    COVID provides an opportunity to adopt a broader perspective on core concepts, to reimagine how we approach the foundational frameworks behind data management and use, to catalyse meaningful change. Feel the same, join us.  

  • Mandated data standard for gender and sex

    A new mandated data standard for gender and sex was recently approved for use across the Public Service.

  • Dashboard documents data direction

    As the agency leading New Zealand’s data, Stats NZ’s quarterly dashboard profiles what we’re doing to support our role as the lead agency for New Zealand’s data.

  • Open Government Data Dashboard

    The Open Government Data Dashboard shows progress in the maturity of management and release of data across government.

  • Guidance

    It can be difficult to navigate the numerous guidance tools, frameworks, and principles out there. Here, we have outlined the key guidance in Aotearoa, how they may best apply to your project and direct you to the practical tools for each guidance.

  • Understanding data confidentiality

    Data confidentiality relates to whether individuals, households, or businesses can be identified within the data.

  • Data capability assessment questionnaire

    This questionnaire complements the guide to ensure the best use of the Data capability framework. Look through the guide first, as it will cover the purpose of the framework and the context for its use.

  • Change to mandated data standards

    The process for selecting mandated data standards (previously called Data Content Requirements, or DCRs) has been updated and approved by the Information Group.

  • Algorithm Charter CoP: the rubber hits the road

    At the fifth community of practice wānanga we reminded ourselves of the Charter Maturity Model and discussed our agencies’ maturity assessments, we learnt about one agency’s experience of the implications of vendors’ using AI, and reported on our progress and how we can support one another.

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